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publications

(§: Co-supervised student, *: Corresponding author)

2020:

Bin Liang§, Rongdi Yin, Lin Gui*, Jiachen Du and Ruifeng Xu. Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.

Junru Lu§, Gabriele Pergola, Lin Gui, Binyang Li and Yulan He. Cross-passage Hierarchical Memory Network for Generative Review Question Answering. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.

Bin Liang§, Rongdi Yin, Lin Gui*, Jiachen Du, Yulan He, Ruifeng Xu. Aspect-Invariant Sentiment Feature Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2020.

Lin Gui, Jia Leng, Jiyun Zhou, Ruifeng Xu, Yulan He. Multi-Task Learning with Mutual Learning for Joint Sentiment Classification and Topic Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.

Chuang Fan§, Chaofa Yuan, Jiachen Du, Lin Gui*, Ruifeng Xu. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.

Jiacheng Du, Lin Gui, Ruifeng Xu. Commonsense Knowledge Enhanced Memory Network for Stance Classification. IEEE Intelligent Systems, 2020.

Ruifeng Xu, Zhiyuan Wen, Lin Gui*, Qin Lu, Binyang Li, Xizhao Wang. Ensemble with Estimation: Seeking for Optimization in Class Noisy Data. International Journal of Machine Learning and Cybernetics, 2020 (impact factor: 3.844)

Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang. EL_LSTM: Prediction of DNA-binding residue from Protein sequence by Combining Long Short-Term Memory and Ensemble Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (impact factor: 2.428)

2019:

Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He. Neural Topic Model with Reinforcement Learning. EMNLP, 2019.

Chuang Fan§, Hongyu Yan, Jiacheng Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao. A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. EMNLP 2019.

Gabriele Pergola, Lin Gui, Yulan He. TDAM: a Topic-Dependent Attention Model for Sentiment Analysis. Journal of Information Processing and Management. 2019.

Jiyun Zhou, Qin Lu, Lin Gui, Ruifeng Xu, Yunfei Long, Hongpeng Wang. MTTFsite: Cross-cell-type TF Binding Site Prediction by using Multi-task Learning. Bioinformatics, 2019. (impact factor: 5.481)

Jiachen Du, Lin Gui, Yulan He, Ruifeng Xu, Xuan Wang. Convolution-Based Neural Attention with Applications to Sentiment Classification. IEEE Access, 2019. (impact factor: 3.557)

Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang. Prediction of TF-binding site by inclusion of higher order position dependencies. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (impact factor: 2.428)

2018:

Ruifeng Xu, Jiachen Du, Zhishan Zhao, Yulan He, Qinghong Gao, Lin Gui, Inferring User Profiles in Social Media by Joint Modeling of Text and Networks,SCIENCE CHINA Information Sciences. 2018. DOI: 10.1007/s11432-018-9718-9. (impact factor: 2.118)

Lin Gui, Ruifeng Xu, Qin Lu, Jiachen Du, Yu Zhou. Negative Transfer Detection in Transductive Transfer Learning. International Journal of Machine Learning & Cybernetics, 2017. (Accept, impact factor: 2.692)

Chuang Fan§, Qinghong Gao†, Jiachen Du, Lin Gui, Ruifeng Xu, Kam-Fai Wong. Convolution-based Memory Network for Aspect-based Sentiment Analysis. Proceedings of The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018.

, , , , , An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning. Proceedings of 7th CCF International Conference on Natural Language Processing and Chinese Computing: 288-298, 2018.

2017:

Lin Gui, Jiannan Hu, Yulan He, Qin Lu, Ruifeng Xu*, Jiachen Du. A Question Answering Approach to Emotion Cause Extraction, Proceedings of Empirical Methods for Natural Language Processing (EMNLP) , 2017.

Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui. Stance Classification with Target-specific Neural Attention. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017.

Lin Gui, Yu Zhou, Ruifeng Xu, Yulan He, Qin Lu. Learning Representations from Heterogeneous Network for Sentiment Classification of Product Reviews. Knowledge-based Systems, vol.124, pp.34-45, 2017. (impact factor: 4.529)

Minglei Li, Qin Lu, Yunfei Long, Lin Gui. Inferring Affective Meanings of Words from Word Embedding. IEEE Transaction on Affective Computing, 2017. (impact factor: 3.149)

Jiachen Du, Ruifeng Xu and Lin Gui. Leverage Target-oriented Information in Stance Detection. Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing, 2017.

Yunfei Long, Qin Lu, Minglei Li, Lin Gui and Chu-Ren Huang. Predicting Implicit Preferences from User Comments: Is Missing Comments Useful? Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing, 2017.

Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang. Prediction of DNA-binding Residues from Sequence Information using Convolutional Neural Network. International Journal of Data Mining and Bioinformatics, vol.17, no.2, pp.132-152, 2017. (impact factor: 0.624)

, , , Affective State Prediction of Contextualized Concepts. Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing: 45-57, 2017.

Minglei Li, Qin Lu, Yunfei Long and Lin Gui. Hidden Recursive Neural Network for Sentence Classification. Proceedings of 18th International Conference on Computational Linguistics and Intelligent Text Processing, 2017.

2016:

Lin Gui, Ruifeng Xu, Yulan He, Qin Lu and Zhongyu Wei. Intersubjectivity and Sentiment: from Language to Knowledge, in Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI), pp.2789-2795, 2016.

Lin Gui , Dongyin Wu, Yu Zhou, Qin Lu and Ruifeng Xu*. Event-Driven Emotion Cause Extraction with Corpus Construction, in Proceedings of Empirical Methods for Natural Language Processing (EMNLP), pp.1639-1649, 2016. (†: equal contribution)

Ruifeng Xu, Lin Gui, Qin Lu, Shuai Wang, Jian Xu, Incorporating Multi-kernel Function and Internet Verification for Chinese Person Name Disambiguation. Frontiers of Computer Science, vol.10, no.6, pp1026-1038, 2016. (impact factor: 1.039)

Qikang Wei, Tao Chen, Ruifeng Xu, Yulan He, Lin Gui. Disease Named Entity Recognition by Combining Conditional Random Fields and Bidirectional Recurrent Neural Networks. Database, 2016. (impact factor: 3.290)

Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang. CNNsite: Prediction of DNA-binding Residues in Proteins using Convolutional Neural Network with Sequence Features. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, pp.78-85, 2016.

Ruifeng Xu, Yu Zhou, Dongyin Wu, Lin Gui, Jiachen Du, Yun Xue. Overview of NLPCC Shared Task 4: Stance Detection in Chinese Microblogs. Proeedings of CCF International Conference on Natural Language Processing and Chinese Computing, pp.907-916, 2016.

2015:

Lin Gui, Qin Lu, Ruifeng Xu, Minglei Li, Qikang Wei. A Novel Class Noise Estimation Method and Application in Classification, In Proceedings of the 24th 24th ACM International Conference on Information and Knowledge Management (CIKM), pp.1081-1090, 2015.

Lin Gui, Qin Lu, Ruifeng Xu, Qikang Wei and Yuhui Cao, Improving Transfer Learning in Cross Lingual Opinion Analysis through Negative Transfer Detection. Proceedings of 8th International Conference on Knowledge Science, Engineering and Management (KSEM), pp.394-406, 2015.

Yuhui Cao, Zhao Chen, Ruifeng Xu, Tao Chen and Lin Gui, A Joint Model for Chinese Microblog Sentiment Analysis, Proceedings of ACL-SIGHAN 8 workshop, pp.61-67, 2015.

Ruifeng Xu, Lin Gui, Jun Xu, Qin Lu and Kam-Fai Wong. Cross Lingual Opinion Holder Extraction based on Multiple Kernel SVMs and Transfer Learning. World Wide Web, vol.18, no.2, pp.299-316, 2015. (impact factor: 1.539)

2014:

Lin Gui, Ruifeng Xu, Qin Lu, Jun Xu, Jian Xu, Bin Liu, Xiaolong Wang. Cross lingual Opinion Analysis via. Negative Transfer Detection, In Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 860-865, 2014.

Lin Gui, Li Yuan, Ruifeng Xu, Bin Liu, Qin Lu, Yu Zhou, Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text, Proceedings of 3rd CCF International Conference on Natural Language Processing and Chinese Computing, Springer CCIS 496, pp. 457-464, 2014.

2013:

Lin Gui, Ruifeng Xu, Jun Xu, Li Yuan, Yuanlin Yao, Jiyun Zhou, Qiaoyun Qiu, Shuwei Wang, Kam-Fai Wong, and Ricky Cheung. A Mixed Model for Cross Lingual Opinion Analysis. Proeedings of CCF International Conference on Natural Language Processing and Chinese Computing, Spinger CCIS 400, pp. 93-104, 2013.

Lin Gui, Ruifeng Xu, Jun Xu and Chengxiang Liu. A Cross-Lingual Approach for Opinion Holder Extraction. Journal of Computational Information Systems, vol. 9, no.6, 2013.

2012:

, , , , , , , Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) Shared Task: 107-112, 2012.